Data Matching and Record Linkage Software
Deduplicate your data, perform entity resolution across data sources and create trusted golden records to power strategic data initiatives with the enterprise-grade matching capabilities of Profisee MDM.
The Data Matching Tool Built for Today’s Demands
Effective match and merge isn’t just about technology — it’s about enabling your organization to move faster, act smarter and trust your data. Profisee gives you:
AI-assisted configuration
Business-ready stewardship
IT-grade
scalability
Always-on
transparency
All out of the box – without custom code. All without complexity.
Don’t Let Your Data Hold You Back
Compare records about the same entity from different source systems and you’re bound to notice a few discrepancies. This is easy enough to fix on a one-off basis, but expand your comparison to include thousands or millions of records and you’re faced with several problems:
Duplicate Records
Many businesses contend with the problem of data silos, but data often becomes duplicated even within the same source system due to simple mistakes such as not realizing a record already exists, misspellings or typos. Without a way to automatically identify and merge similar records, eliminating duplicate records (deduplication) can prove daunting and infeasible.
Inconsistent Formatting
Is the address on Madison Avenue or Madison Ave.? Is the customer Jessica Klein or Klein, Jessica? These and other differences in formatting — such as using four- versus nine-digit ZIP Codes — can wreak havoc across the enterprise when it comes to initiatives like business intelligence, customer experience, strategic procurement and targeted marketing campaigns.
Impossible-to-Trust Data
SAP says the shoes are brown, but NetSuite says they’re burnt sienna. Which is correct? Is one preferred over the other in certain situations? Without a way to standardize records, inconsistent data can lead to inaccurate sales reports, incorrect product shipments, customer mix-ups and manufacturing errors.
Intelligent Matching Built for Real-World Data
Data matching (or entity resolution) is the foundation, but real-world matching goes beyond fuzzy logic and string comparison. Profisee MDM provides a solution that’s precise, adaptable and explainable.
Automated Matching with a Human Touch
Our proprietary matching algorithm handles everything from deterministic matching to advanced probabilistic logic. Keep a human in the loop for manual review of inconclusive results to ensure records are unique and accurate.
Configurable automated survivorship lets you define which attributes survive record merges. Set rules based on record completeness, recency, source trust or custom logic to meet data quality requirements.
Customer. Product. Location. Vendor. Profisee supports different requirements across data domains, providing cross-domain flexibility that makes it easy to manage all your master data in one platform.
Implement and secure stakeholder engagement quickly with Profise’s intuitive, web-based user interface. No coding required.
Stewardship That Works with You, Not Against You
Even the best algorithms encounter ambiguous data — records that aren’t just non-standard, but directly contradictory. That’s where human oversight still matters.
Keep
a human in the loop with stewardship that’s efficient, focused and business-friendly
ELIMINATE
EMPOWER
Scalable Operations That Keep Up with the Business
Your data doesn’t rest, and neither should your match and merge engine. Profisee is built for always-on, enterprise-scale operations:
Lightning-fast performance from initial index creation to real-time match execution.
Scalability by design, proven across millions of records and complex data ecosystems.
High availability and resilience to support mission-critical processes.
Complete transparency into why records matched and how golden records were formed — so you can trust and audit every outcome.
Real-Time Matching That Powers Real Business Impact
Healthcare
Merge fragmented patient records for unified care and compliance.
Retail
Consolidate customer profiles to power personalized marketing for improved cross-sell and up-sell.
Manufacturing
Normalize supplier data to streamline procurement and reduce spend.
Finance
Maintain a single entity view to strengthen KYC and anti-fraud controls.
M&A and integration
Rapidly unify systems across acquisitions—without manual reconciliation.
Data Matching FAQs
How does Profisee MDM’s matching differ from other MDM solutions, especially in terms of supporting various match types?
Profisee MDM’s matching capabilities encompass support for exact character matching, fuzzy matching and other common match types. These features distinguish it from other MDM solutions and cater to diverse matching needs within organizations.
What data sources can I use with Profisee’s matching and survivorship abilities?
You can use data from any source. Import your data, and Profisee will automatically match potential duplicate records using fuzzy matching. From there, you can configure matching and survivorship strategies to merge duplicate records based on your unique requirements and keep the best information from across your source systems in the form of a golden record.
What is survivorship in the context of MDM?
Survivorship refers to the process of determining which data values should be retained or “survive” when conflicting or duplicate data records are merged or resolved. In many cases, multiple sources (or silos) of data may contain conflicting or duplicate information about the same entity (e.g., customer, product). Survivorship rules are used to resolve these conflicts by determining which values should be considered authoritative and retained in the merged or consolidated record, often resulting in the creation of a golden record.
How does matching and merging records work in Profisee? Do data stewards have the chance to review matches before they’re merged?
Profisee uses an ML-powered matching engine to automatically match duplicate records. Matching records are then displayed side-by-side in a match group for data stewards to review, where they are also given the option to merge records. Once a steward selects candidate records for merging, they can choose “winners” from the information in candidate records to survive the merge and be stored in the golden record. Data stewards have a chance to review merge criteria before making any changes that will affect records. Full audit trails are available in the Profisee Platform for data steward review.
With Profisee’s golden record management, now you can…
